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OpenAI quarterly revenue hits $10 billion amid growing losses

The AI leader reached a $10 billion quarterly revenue milestone, but its operating losses also increased as it faces heavy competition from Anthropic.

$10.9 billionOpenAI's adjusted operating loss for Q3

The short version

Why it matters

This news highlights the massive scale of the AI industry while revealing the high costs of staying competitive. For users and businesses, it shows that while the technology is expanding rapidly, the path to profitability remains a significant hurdle for the leading developers.

A milestone in revenue

OpenAI recently reached a significant financial milestone as its quarterly revenue reportedly crossed $10 billion. This figure represents a nearly 50% sequential growth from the previous quarter, where revenue was approximately $6.7 billion. These numbers were shared with investors rather than being disclosed in audited public financial statements.

The pace of expansion has been even more dramatic when looking at year-over-year comparisons. According to reporting from TechCrunch, the company's annualized revenue run rate reached approximately $50 billion by the end of September. This indicates a nearly tripled increase in quarterly revenue compared to the same period in 2025.

While the growth is hard to ignore, the data comes from sources familiar with investor communications. Because these are not independently verified public filings, the exact nature of the revenue streams remains somewhat opaque. However, the trend clearly shows a rapid acceleration in the company's ability to generate income from its AI services.

The widening profit gap

Despite the surge in revenue, OpenAI is facing a significant challenge regarding its profitability. The company's reported adjusted operating loss for the third quarter reached approximately $10.9 billion. This is an increase from the roughly $10.1 billion loss reported in the previous quarter.

The company's adjusted operating margin did show some signs of improvement, moving from about -150% in the second quarter to -109% in the third. Even with this slight progress in efficiency, the company still lost more than a dollar for every dollar it brought in during that period. This highlights the extreme costs associated with maintaining large-scale AI operations.

The primary drivers of these high costs include infrastructure, research, talent, and computing power. The available reporting does not currently show that these specific costs are declining in relation to the company's revenue. This suggests that as OpenAI scales its reach, the expenses required to power that growth are scaling just as quickly.

Comparing the competition

OpenAI's financial position becomes more complex when compared to its primary rival, Anthropic. Anthropic reportedly posted approximately $17 billion in third-quarter revenue, which significantly exceeds OpenAI's reported figure. This information was disclosed in an amended Form S-1 filed with the SEC, providing a different level of primary-source standing.

However, comparing these two numbers directly requires caution because the companies use different reporting methodologies. Anthropic includes sales made through cloud partners in its run-rate calculation, whereas OpenAI only reports its specific share of some partner-generated sales. Depending on which methodology is applied, the gap between the two companies could be overstated or understated.

These discrepancies illustrate the difficulty of measuring success in a rapidly evolving market. While Anthropic shows a higher top-line figure in its filing, the underlying dynamics of their distribution agreements differ. Both companies are navigating a landscape where cloud distribution and partner dynamics play a massive role in how revenue is captured and reported.

Drivers of the surge

Several factors are believed to be driving OpenAI's recent momentum, though these have not been independently confirmed. Reports suggest that the company has implemented tighter pricing structures and improved its underlying models. These adjustments are intended to make the technology more accessible and efficient for a wider range of users.

Additionally, there is a reported stronger push into enterprise products and targeted discounts for business clients. These strategies aim to move OpenAI beyond its established consumer scale and into more durable corporate contracts. The goal is to convert broad public interest into consistent, long-term business dominance.

The company is also navigating a crowded field that includes major tech giants like Google, Microsoft, Amazon, and Meta. It also faces pressure from a growing number of open-source developers. Success in this environment depends on how well OpenAI can balance its pricing models with the high costs of research and infrastructure.

The path forward

The central question for OpenAI remains whether it can convert its massive consumer reach into a dominant position in the enterprise market. While the $10 billion quarterly revenue figure is a milestone, it does not guarantee a path to sustainable profit. The company must find a way to manage its high operating costs while continuing to innovate at a rapid pace.

Sustained operating losses of this magnitude may eventually force a structural response from the company. This could involve changes to how they distribute their models, how they price their services, or how they manage their infrastructure costs. The company's ability to navigate these pressures will determine its long-term viability in the AI space.

As the market evolves, revenue leadership can shift quickly based on new model releases and distribution agreements. For now, OpenAI remains a dominant player, but the widening gap between its revenue and its losses serves as a reminder of the high stakes in the AI race. Investors and users alike will be watching to see if the company can turn its growth into a stable business model.

What to watch

Try it

Check the SEC's EDGAR database to see the difference between how Anthropic and other AI companies report their financial figures.

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First reported by Gadget Review · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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